Cited by 65Face Recognition and PerceptionNeural Networks and ApplicationsFace and Expression Recognition

Recognizing complex patterns.

Sinha, Pawan·2002·Nature Neuroscience

Abstract

How the brain recognizes complex patterns in the environment is a central, but little understood question in neuroscience. The problem is of great significance for a host of applications such as biometric-based access control, autonomous robots and content-based information management. Although some headway in these directions has been made, the current artificial systems do not match the robustness and versatility of their biological counterparts. Here I examine recognition tasks drawn from two different sensory modalities--face recognition and speaker/speech recognition. The goal is to characterize the present state of artificial recognition technologies for these tasks, the influence of neuroscience on the design of these systems and the key challenges they face.

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Crossref · 10.1038/nn949

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Authors
Sinha, P.
Affiliations
Massachusetts Institute of Technology (US)
Corresponding author
Sinha, Pawan
Venue
Nature Neuroscience
Published
2002-10-28
Volume
5
Issue
S11
Pages
1093-1097
ISSN
  • 1097-6256 (ISSN-L)
  • 1546-1726
OpenAlex
W1968603670
Cited by
65
References
43
Citations by year
2026: 1 · 2025: 1 · 2023: 1 · 2022: 1 · 2021: 4 · 2020: 7 · 2019: 1 · 2018: 2 · 2017: 3 · 2016: 3 · 2015: 2 · 2014: 5 · 2013: 2 · 2012: 2
FWCI
0.21
Type
journal article
Language
en
Open access
closed
Locations
  • Nature Neuroscience (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
  • Physical Sciences › Computer Science › Artificial Intelligence › Neural Networks and Applications
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face and Expression Recognition
Keywords
pattern recognition, face recognition (cognition), speech recognition, speaker recognition, biometric access control, autonomous robots
MeSH terms
Animals, Artificial Intelligence, Brain, Face, Humans, Image Processing, Computer-Assisted, Neurosciences, Pattern Recognition, Visual, Speech Perception

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